def get_swap_fraction_to_delta_range_fraction(s, netlist, percent=False):
deltas = get_deltas_from_netlist(s, netlist, percent=percent)
hist, bin_edges = np.histogram(deltas, bins=50)
count = len(hist)
plot_data = {'Cummulative swaps count': hist.cumsum() / sum(hist),
'% of delta range': np.arange(count) / count}
x_label, y_label = 'Cummulative swaps count', '% of delta range'
f = LinearInterpolatedModel()
f.fitData(np.concatenate(([0], plot_data[x_label])),
np.concatenate(([0], plot_data[y_label])))
return f, bin_edges
def get_combined_swap_fraction_to_delta_range_fraction(s):
#import pudb; pudb.set_trace()
hist = get_combined_histogram(s)
count = len(hist)
plot_data = {'Cummulative swaps count': hist.cumsum() / sum(hist),
'% of delta range': np.arange(count) / count}
x_label, y_label = 'Cummulative swaps count', '% of delta range'
f = LinearInterpolatedModel()
f.fitData(np.concatenate(([0], plot_data[x_label])),
np.concatenate(([0], plot_data[y_label])))
return f
